Senior Generative Engenier

Role overview

AI agent ecosystem

• Relevant tools include coding agents such as Codex, Claude Code, GitHub Copilot, and Gemini-based tools.
• Frameworks include OpenAI Agents SDK, LangGraph, LangChain, CrewAI, Google ADK, and AutoGen.
• Work may involve browser/computer-use agents, workflow automation, RAG, multimodal agents, self-hosted systems, MCP, APIs, and event-driven workflows.

Project delivery

• Investigate client needs; compare tools for capability, limitations, licensing, cost, and security; and design appropriate architectures.
• Build frontend, backend, database, API, and AI functionality; coordinate agents through controlled workflows.
• Test code and model outputs, handle failures, deploy applications, configure monitoring, and document systems.
• Provide source code, setup instructions, test results, demonstrations, and client handover documentation.
• Keep evaluating emerging tools and replace components when evidence shows meaningful improvement.

Execution and candidate evidence

• Show independent problem-solving, practical engineering, technical research, and end-to-end ownership.
• Demonstrate a working AI-agent application, documented multi-agent coordination, and personally implemented and tested software.
• Explain tool selection and provide reproducible deployment steps, security considerations, and known limitations.
• Translate approved requirements into functional applications with milestones, measurable acceptance criteria, and realistic delivery estimates.
• Validate agent outputs rather than treating them as infallible; prioritize practical solutions over the number of tools used.

Work arrangement

• The description states both 100% remote and hybrid remote in Ahmedabad, Gujarat.

Pay

• ₹10,000–₹62,000 per month.